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  1. Dictionary
    Da·ta min·ing
    /ˈdādə ˌmīniNG/

    noun

    • 1. the practice of analyzing large databases in order to generate new information.

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  3. Feb 23, 2024 · Data mining is the process of analyzing large amounts of data to find patterns and insights. Learn how data mining works, what techniques are used, and what benefits it can offer for businesses and consumers.

  4. en.wikipedia.org › wiki › Data_miningData mining - Wikipedia

    Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use.

  5. Data mining, also known as knowledge discovery in data (KDD), is the process of uncovering patterns and other valuable information from large data sets. Given the evolution of data warehousing technology and the growth of big data, adoption of data mining techniques has rapidly accelerated over the last couple of decades, assisting companies by ...

  6. Mar 4, 2024 · Data mining is the process, or technique, of discovering information in large sets of data, such as patterns and relationships, that you can then use to make informed decisions. This process happens with the help of computers and automated processes made possible through artificial intelligence and machine learning.

  7. Jan 11, 2024 · Data mining is the process of analyzing massive volumes of data and gleaning insights that businesses can use to make more informed decisions. Learn about data mining techniques, such as regression, association rule discovery, classification and clustering, and how they can help businesses solve complex problems, predict trends and improve efficiency.

  8. Jul 20, 2023 · Data mining is the process of extracting useful information from large data sets using computer software, machine learning, and statistics. Learn about different data mining techniques, such as classification, clustering, and regression, and see how they are applied in real-world scenarios.

  9. Data mining is a computer-assisted technique to process and explore large data sets and discover hidden patterns and relationships. Learn the six phases of data mining, the CRISP-DM methodology, and the common data mining techniques such as association rule mining and classification.

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